7 Result(s)
within
Conference Paper
Paweł Ksieniewicz
Computational Intelligence
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Chapter and Conference Paper
Hollow n-grams Vectorizer for Natural Language Processing Problems
Words don’t come easy, which fosters the use of generative artificial intelligence models in ongoing popularity of widely available applications such as ChatGPT. The result is an even greater flood of online c...
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Chapter and Conference Paper
Incremental Extreme Learning Machine for Binary Data Stream Classification
Classifier ensembles have shown the ability to classify drifted data streams. The following paper proposes an ensemble consisting of a single hidden layer feedforward neural network and an Extreme Learning Mac...
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Chapter and Conference Paper
SWAROG Project Approach to Fake News Detection Problem
We often come across the seemingly obvious remark that the modern world is full of data. From the perspective of a regular Internet user, we perceive this as an abundance of content that we unintentionally con...
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Chapter and Conference Paper
Analysis of the Possibility to Employ Relationship Between the Problem Complexity and the Classification Quality as Model Optimization Proxy
Bulk construction of pattern classifiers, whether for optimizing input data configurations or method hyperparameters, is a computationally highly complex task. The main problem is the prediction quality evalua...
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Chapter and Conference Paper
A First Attempt to Construct Effective Concept Drift Detector Ensembles
The big data is usually described by so-called 5Vs (Volume, Velocity, Variety, Veracity, Value). The business success in the big data era strongly depends on the smart analytical software which can help to mak...
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Chapter and Conference Paper
Ensemble Classifier Systems for Headache Diagnosis
Headache, medically known as cephalalgia, may have a wide range of symptoms and its types may be related and mixed. Its proper diagnosis is difficult and automatic diagnosis is usually rather imprecise, theref...
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Chapter and Conference Paper
Hyperspectral Image Analysis Based on Quad Tree Decomposition
Hyperspectral image analysis is among one of the current trends in computer vision and machine learning. Due to the high dimensionality, large number of classes, presence of noise and complex structure, this i...
